- Posted on 6 Aug 2018
- 2-minute read
case study
Learn about UTS research funded by non-traditional sources:
Name of CIs: Senior Lecturer Alen Alempijevic (FEIT) and Research Director Michelle Zeibots (ISF)
Collaborators: FEIT and ISF
Name of Funder: Rail Manufacturing CRC (RMCRC) and Downer Rail
Funding category: Category 4
Amount of funding:$624,000
In 2011, Downer Rail approached UTS to collaborate and support them in becoming a more innovative company. By 2013, we were working together to solve a problem plaguing the commuter rail sector; how to reduce the time rail passengers need to embark/disembark on stations at crowded inner-city rail station platforms to ensure trains leave on time.
We now have a proof-of-concept for a new product called DwellTrack, which came from a project funded in equal parts by RMCRC and Downer, that uses robotic sensors to monitor passenger movements and densities on platforms in real-time.
Once fully developed, DwellTrack could solve major issues like platform overcrowding and be able to inform platform staff of the reasons for delays in departure.
case study
Learn about UTS research funded by non-traditional sources:
Name of CIs: Senior Lecturer Alen Alempijevic (FEIT) and Research Director Michelle Zeibots (ISF)
Collaborators: FEIT and ISF
Name of Funder: Rail Manufacturing CRC (RMCRC) and Downer Rail
Funding category: Category 4
Amount of funding:$624,000
In 2011, Downer Rail approached UTS to collaborate and support them in becoming a more innovative company. By 2013, we were working together to solve a problem plaguing the commuter rail sector; how to reduce the time rail passengers need to embark/disembark on stations at crowded inner-city rail station platforms to ensure trains leave on time.
We now have a proof-of-concept for a new product called DwellTrack, which came from a project funded in equal parts by RMCRC and Downer, that uses robotic sensors to monitor passenger movements and densities on platforms in real-time.
Once fully developed, DwellTrack could solve major issues like platform overcrowding and be able to inform platform staff of the reasons for delays in departure.